The Experts below are selected from a list of 1077 Experts worldwide ranked by ideXlab platform
Jamal Sheikh Ahmad - One of the best experts on this subject based on the ideXlab platform.
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an efficient approach for the identification of candidate Datum set for a nominally flat primary Datum Feature
2003Co-Authors: Hossein S Cheraghi, Guohua Jiang, Jamal Sheikh AhmadAbstract:Abstract The first step in the evaluation of geometric characteristics is to establish the related Datums. Correct establishment of Datums is vital to the accurate evaluation of related geometric errors. ASME Y14.5.1M-1994 standard specifies a procedure for the establishment of candidate Datum set for a nominally flat Datum Feature. Implementation of this procedure is not a trivial task. In this paper, an efficient and accurate algorithm for the implementation of the above-mentioned procedure is presented. The algorithm has been implemented and is evaluated for its ability to provide accurate results quickly.
Hossein S Cheraghi - One of the best experts on this subject based on the ideXlab platform.
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an efficient approach for the identification of candidate Datum set for a nominally flat primary Datum Feature
2003Co-Authors: Hossein S Cheraghi, Guohua Jiang, Jamal Sheikh AhmadAbstract:Abstract The first step in the evaluation of geometric characteristics is to establish the related Datums. Correct establishment of Datums is vital to the accurate evaluation of related geometric errors. ASME Y14.5.1M-1994 standard specifies a procedure for the establishment of candidate Datum set for a nominally flat Datum Feature. Implementation of this procedure is not a trivial task. In this paper, an efficient and accurate algorithm for the implementation of the above-mentioned procedure is presented. The algorithm has been implemented and is evaluated for its ability to provide accurate results quickly.
Yikun Yang - One of the best experts on this subject based on the ideXlab platform.
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Datum Feature extraction and deformation analysis method based on normal vector of point cloud
2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract:Abstract. In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extracting Datum Feature and analysing deformation based on normal vector of point cloud was proposed. Firstly, the kd-tree is used to establish the topological relation. Datum points are detected by tracking the normal vector of point cloud determined by the normal vector of local planar. Then, the cubic B-spline curve fitting is performed on the Datum points. Finally, Datum elevation and the inclination angle of the radial point are calculated according to the fitted curve and then the deformation information was analyzed. The proposed approach was verified on real large-scale tank data set captured with terrestrial laser scanner in a chemical plant. The results show that the method could obtain the entire information of the monitor object quickly and comprehensively, and reflect accurately the Datum Feature deformation.
Guohua Jiang - One of the best experts on this subject based on the ideXlab platform.
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an efficient approach for the identification of candidate Datum set for a nominally flat primary Datum Feature
2003Co-Authors: Hossein S Cheraghi, Guohua Jiang, Jamal Sheikh AhmadAbstract:Abstract The first step in the evaluation of geometric characteristics is to establish the related Datums. Correct establishment of Datums is vital to the accurate evaluation of related geometric errors. ASME Y14.5.1M-1994 standard specifies a procedure for the establishment of candidate Datum set for a nominally flat Datum Feature. Implementation of this procedure is not a trivial task. In this paper, an efficient and accurate algorithm for the implementation of the above-mentioned procedure is presented. The algorithm has been implemented and is evaluated for its ability to provide accurate results quickly.
F Jin - One of the best experts on this subject based on the ideXlab platform.
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Datum Feature extraction and deformation analysis method based on normal vector of point cloud
2018Co-Authors: Wenxiao Sun, Jian Wang, F Jin, Z Liang, Yikun YangAbstract:Abstract. In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extracting Datum Feature and analysing deformation based on normal vector of point cloud was proposed. Firstly, the kd-tree is used to establish the topological relation. Datum points are detected by tracking the normal vector of point cloud determined by the normal vector of local planar. Then, the cubic B-spline curve fitting is performed on the Datum points. Finally, Datum elevation and the inclination angle of the radial point are calculated according to the fitted curve and then the deformation information was analyzed. The proposed approach was verified on real large-scale tank data set captured with terrestrial laser scanner in a chemical plant. The results show that the method could obtain the entire information of the monitor object quickly and comprehensively, and reflect accurately the Datum Feature deformation.
